Chapter

Brain-Computer Interface Research

Part of the series SpringerBriefs in Electrical and Computer Engineering pp 93-110

Date:

Towards a Speech BCI Using ECoG

  • Eric C. LeuthardtAffiliated withDepartment of Biomedical Engineering, Washington University in St. LouisDepartment of Neurosurgery, Washington University in St. Louis, School of Medicine Email author 
  • , John CunninghamAffiliated withDepartment of Biomedical Engineering, Washington University in St. Louis
  • , Dennis BarbourAffiliated withDepartment of Biomedical Engineering, Washington University in St. Louis

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Abstract

Electrocorticography (ECoG) has emerged as a new signal platform for brain–computer interface (BCI) systems. Classically, the cortical physiology that has been commonly investigated and utilized for device control in humans has been brain signals from sensorimotor cortex. More recently, speech networks have emerged as a new neurophysiological substrate that could be used to both further improve on or complement existing motor-based control paradigms as well as expand BCI techniques to new clinical populations. We review the emerging literature associated with the scientific, clinical, and technical findings that provide the motivation and capability for speech-based BCIs.

Keywords

Cortex Electrocorticography Gamma rhythms Human Speech Phoneme